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Optical Engineering

Correlation length used as a predictor of fundamental scale lengths for image characterization
Author(s): John W. Hilgers; William R. Reynolds; James R. McManamey; David Strang
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Paper Abstract

The extraction of spatial information, specifically the length scale, from imagery of background scenes can be indirectly made using an estimation of the correlation length. However, sampling frequency and the record size of the data affect the precision of the resultant estimation. The resolving power of the correlation length as a function of the image scale is examined in detail. Several models designed to estimate image length scale s from computed correlation length xL are studied. The relative accuracy of the model, as well as the performance of different integration strategies for computing xL are examined. It is found that s -dependent integration schemes are superior, although their use necessitates a more involved ‘‘fixed point’’ procedure to estimate s.

Paper Details

Date Published: 1 March 1996
PDF: 8 pages
Opt. Eng. 35(3) doi: 10.1117/1.600648
Published in: Optical Engineering Volume 35, Issue 3
Show Author Affiliations
John W. Hilgers, Signature Research Inc. (United States)
William R. Reynolds, Signature Research, Inc. (United States)
James R. McManamey, U.S. Army RD&E Ctr. Belvoir (United States)
David Strang, Michigan Technological Univ. (United States)

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